Autonomous nuclear waste management

Aitken, J. orcid.org/0000-0003-4204-4020, Veres, S., Shaukat, A. et al. (7 more authors) (2018) Autonomous nuclear waste management. IEEE Intelligent Systems, 33 (6). pp. 47-55. ISSN 1541-1672

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: computing methodologies; artificial intelligence; robotics; commercial robots and applications; affective computing; affective computing applications; social agents/robotics; vision; affective issues in enhancing machine/robotic intelligence; function in robotic systems; function in intelligent systems
Dates:
  • Accepted: 28 November 2017
  • Published (online): 12 January 2018
  • Published: November 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/J011843/1
NATIONAL NUCLEAR LABORATORYUNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 01 Dec 2017 16:26
Last Modified: 15 Mar 2024 17:00
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/MIS.2018.111144814

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